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<div class="title">NormalizePlanarYUVLayerDataset.h</div>  </div>
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<a href="_normalize_planar_y_u_v_layer_dataset_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef ARM_COMPUTE_TEST_NORMALIZE_PLANAR_YUV_LAYER_DATASET</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define ARM_COMPUTE_TEST_NORMALIZE_PLANAR_YUV_LAYER_DATASET</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_type_printer_8h.xhtml">utils/TypePrinter.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">namespace </span>datasets</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml">   38</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml">NormalizePlanarYUVLayerDataset</a></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#a07945b88fcb23720042fb717e4c44766">   41</a></span>&#160;    <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#a07945b88fcb23720042fb717e4c44766">type</a> = std::tuple&lt;TensorShape, TensorShape&gt;;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml">   43</a></span>&#160;    <span class="keyword">struct </span><a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml">iterator</a></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    {</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#a190b03c4702d47f07a7467ed6827f7d9">   45</a></span>&#160;        <a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#a190b03c4702d47f07a7467ed6827f7d9">iterator</a>(std::vector&lt;TensorShape&gt;::const_iterator tensor_it,</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;                 std::vector&lt;TensorShape&gt;::const_iterator param_it)</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;            : _tensor_it{ std::move(tensor_it) },</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;              _param_it{ std::move(param_it) }</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        {</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        }</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b">   52</a></span>&#160;        std::string <a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b">description</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">        </span>{</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;            std::stringstream <a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b">description</a>;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;            description &lt;&lt; <span class="stringliteral">&quot;In=&quot;</span> &lt;&lt; *_tensor_it &lt;&lt; <span class="stringliteral">&quot;:&quot;</span>;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;            description &lt;&lt; <span class="stringliteral">&quot;Out=&quot;</span> &lt;&lt; *_tensor_it &lt;&lt; <span class="stringliteral">&quot;:&quot;</span>;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;            description &lt;&lt; <span class="stringliteral">&quot;Mean=&quot;</span> &lt;&lt; *_param_it &lt;&lt; <span class="stringliteral">&quot;:&quot;</span>;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;            description &lt;&lt; <span class="stringliteral">&quot;Sd=&quot;</span> &lt;&lt; *_param_it &lt;&lt; <span class="stringliteral">&quot;:&quot;</span>;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;            <span class="keywordflow">return</span> description.str();</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        }</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#ada71b259f0ee2f526a122c7581504d5a">   62</a></span>&#160;        <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#a07945b88fcb23720042fb717e4c44766">NormalizePlanarYUVLayerDataset::type</a> <a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#ada71b259f0ee2f526a122c7581504d5a">operator*</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="keyword">        </span>{</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;            <span class="keywordflow">return</span> std::make_tuple(*_tensor_it, *_param_it);</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        }</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00">   67</a></span>&#160;        <a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml">iterator</a> &amp;<a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00">operator++</a>()</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        {</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;            ++_tensor_it;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;            ++_param_it;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keyword">private</span>:</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        std::vector&lt;TensorShape&gt;::const_iterator _tensor_it;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        std::vector&lt;TensorShape&gt;::const_iterator _param_it;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    };</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">   80</a></span>&#160;    <a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml">iterator</a> <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">begin</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#a190b03c4702d47f07a7467ed6827f7d9">iterator</a>(_tensor_shapes.begin(), _param_shapes.begin());</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    }</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#ab8e4e3e2a7bf18888b71bdf9dda0770b">   85</a></span>&#160;    <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#ab8e4e3e2a7bf18888b71bdf9dda0770b">size</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(_tensor_shapes.size(), _param_shapes.size());</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    }</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#ab847eb21a42ba6b11359c42b20c4c454">   90</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#ab847eb21a42ba6b11359c42b20c4c454">add_config</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> param)</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    {</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        _tensor_shapes.emplace_back(std::move(tensor));</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        _param_shapes.emplace_back(std::move(param));</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    }</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="keyword">protected</span>:</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml">NormalizePlanarYUVLayerDataset</a>()                                  = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml">NormalizePlanarYUVLayerDataset</a>(<a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml">NormalizePlanarYUVLayerDataset</a> &amp;&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    std::vector&lt;TensorShape&gt; _tensor_shapes{};</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    std::vector&lt;TensorShape&gt; _param_shapes{};</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;};</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;} <span class="comment">// namespace datasets</span></div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_TEST_NORMALIZE_PLANAR_YUV_LAYER_DATASET */</span><span class="preprocessor"></span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00884">FixedPoint.h:884</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator_xhtml_af1b1c7856a59f34c7d3570f946a2ff00"><div class="ttname"><a href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#af1b1c7856a59f34c7d3570f946a2ff00">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::iterator::operator++</a></div><div class="ttdeci">iterator &amp; operator++()</div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00067">NormalizePlanarYUVLayerDataset.h:67</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_xhtml_a07945b88fcb23720042fb717e4c44766"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#a07945b88fcb23720042fb717e4c44766">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::type</a></div><div class="ttdeci">std::tuple&lt; TensorShape, TensorShape &gt; type</div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00041">NormalizePlanarYUVLayerDataset.h:41</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_xhtml_ab847eb21a42ba6b11359c42b20c4c454"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#ab847eb21a42ba6b11359c42b20c4c454">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::add_config</a></div><div class="ttdeci">void add_config(TensorShape tensor, TensorShape param)</div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00090">NormalizePlanarYUVLayerDataset.h:90</a></div></div>
<div class="ttc" id="_type_printer_8h_xhtml"><div class="ttname"><a href="_type_printer_8h.xhtml">TypePrinter.h</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator_xhtml_ada71b259f0ee2f526a122c7581504d5a"><div class="ttname"><a href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#ada71b259f0ee2f526a122c7581504d5a">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::iterator::operator*</a></div><div class="ttdeci">NormalizePlanarYUVLayerDataset::type operator*() const </div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00062">NormalizePlanarYUVLayerDataset.h:62</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset</a></div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00038">NormalizePlanarYUVLayerDataset.h:38</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator_xhtml_a7b5000e45c1386c4e56ef650f6b0ef5b"><div class="ttname"><a href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#a7b5000e45c1386c4e56ef650f6b0ef5b">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::iterator::description</a></div><div class="ttdeci">std::string description() const </div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00052">NormalizePlanarYUVLayerDataset.h:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_xhtml_a2fcbf5359798ec294d009f286fd802e6"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::begin</a></div><div class="ttdeci">iterator begin() const </div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00080">NormalizePlanarYUVLayerDataset.h:80</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator_xhtml"><div class="ttname"><a href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::iterator</a></div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00043">NormalizePlanarYUVLayerDataset.h:43</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator_xhtml_a190b03c4702d47f07a7467ed6827f7d9"><div class="ttname"><a href="structarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_1_1iterator.xhtml#a190b03c4702d47f07a7467ed6827f7d9">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::iterator::iterator</a></div><div class="ttdeci">iterator(std::vector&lt; TensorShape &gt;::const_iterator tensor_it, std::vector&lt; TensorShape &gt;::const_iterator param_it)</div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00045">NormalizePlanarYUVLayerDataset.h:45</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset_xhtml_ab8e4e3e2a7bf18888b71bdf9dda0770b"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_normalize_planar_y_u_v_layer_dataset.xhtml#ab8e4e3e2a7bf18888b71bdf9dda0770b">arm_compute::test::datasets::NormalizePlanarYUVLayerDataset::size</a></div><div class="ttdeci">int size() const </div><div class="ttdef"><b>Definition:</b> <a href="_normalize_planar_y_u_v_layer_dataset_8h_source.xhtml#l00085">NormalizePlanarYUVLayerDataset.h:85</a></div></div>
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